Data Analyst (Data Science team) - Jupiter Asset Management Ltd in London

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Jupiter is one of the UK's leading investment management companies with just under 500 employees and £47.1 billion worth of assets under management (as at 30th June 2025).

Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs and Dublin OEICs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open across EMEA and APAC.

The majority of our employees are based in our London office located just minutes from Victoria station which provides stair-free access from both the Underground's Victoria line and Rail platforms, as well as limited road crossings to the Jupiter office. Our London office was designed to encourage employees to live active, healthy lives with floor-to-ceiling windows that allow for greater natural light and the benefit of a private balcony, table tennis room, cycle storage and on-site shower and locker facilities. The short distance to Green Park and St James' Park also provides employees with a natural space to relax during their lunch break and a healthy alternative to office-based meetings.

We offer our UK employees a 3:2 hybrid working arrangement where Tuesdays, Thursdays and a third day of your choice are worked from the office. The other two days may be worked from home. This facilitates collaboration and allows employees to maximise productivity whilst maintaining a healthy work/life balance.

We're looking for a skilled and collaborative Data Analyst to join our small, dynamic Data Science team to help drive our data strategy forward. This role focuses on building scalable data processes, delivering impactful analysis, and developing dashboards that support investment decision-making. You'll thrive in a curious, and outcome-oriented environment that values high performance, practical impact, and clear communication.

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• Develop and maintain scalable, reproducible analytical workflows using Python and SQL.
  
• Lead dashboard development and visualisation, becoming the team's go-to expert for tools used by Fund Management teams.
  
• Collaborate with data engineers and data scientists on data exploration, cleansing, and pipeline optimisation.
  
• Translate complex data findings into clear, compelling narratives for non-technical stakeholders.
  
• Partner with investment professionals to identify opportunities, test hypotheses, and deliver data-driven insights.
  
• Contribute to team-wide best practices for data access, documentation, and reproducibility.
  

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• 4+ years of experience in data analytics or data engineering.
  
• High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential.
  
• Hands-on experience with BI tools (ideally Power BI) advantageous
  
• Familiarity with cloud-based data platforms (ideally Azure) advantageous.
  
• Strong problem-solving skills and attention to detail.
  
• Ability to work independently and collaboratively in a fast-paced environment.
  

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• This role is subject to the Conduct Rules set by the FCA.
  

Don't meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don't think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.